Analog AI as a Service: A Cloud Platform for In-Memory ComputingKaoutar El MaghraouiKim Tranet al.2024SSE 2024
Heterogeneous Embedded Neural Processing Units Utilizing PCM-based Analog In-Memory ComputingIrem Boybat-KaraThomas Boeschet al.2024IEDM 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)Geoffrey BurrSidney Tsaiet al.2023IEDM 2023
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous AcceleratorsHadjer BenmezianeCorey Liam Lammieet al.2024NeurIPS 2024
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory ComputingJulian BüchelWilliam Simonet al.2024NeurIPS 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory ComputingElena FerroA. Vasilopouloset al.2024ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-TrainingCorey Liam LammieA. Vasilopouloset al.2024ISCAS 2024
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and InferenceManuel Le GalloCorey Liam Lammieet al.2023APL Mach. Learn.
How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) SystemsCorey Liam LammieManuel Le Galloet al.2024ISCAS 2024